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All Journal Jurnal Ekonomi e-Jurnal Apresiasi Ekonomi
Mia Muchia Desda
Institut Teknologi dan Ilmu Sosial Khatulistiwa
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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THE INFLUENCE OF STOCK TRADING VOLUME AND COMPANY SIZE ON STOCK PRICE VOLATILITY IN IDX80 BANKING COMPANIES DURING THE COVID-19 PANDEMIC Eko Putra; Mahdahleni Mahdahleni; Mia Muchia Desda
Jurnal Ekonomi Vol. 11 No. 03 (2022): Jurnal Ekonomi, 2022 Periode Desember
Publisher : SEAN Institute

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Abstract

This study was conducted to determine the effect of stock trading volume and company size on stock price volatility in IDX80 Banking Companies during the Covid-19 Pandemic. The place and time of the author's research was carried out on banks listed on the Indonesia Stock Exchange starting from 2020 to 2021. The population of this study was a banking company listed on the IDX in 2020 and 2021. The sample in this study used the sampling technique, namely Purposive Sampling. The results of the study found that the results of the analysis with panel data regression, namely Y = 17.49811 + 0.552606 - 0.853274 showed that the Stock Trading Volume had a positive effect of 0.552606 and not significant at 0.6997 > 0.05. The technique used is panel data regression. The results showed that: (1) Stock trading volume had a positive and insignificant effect on stock price volatility. (2) Firm size has a negative and significant effect on stock price volatility. (3) Stock trading volume and firm size have a positive and significant effect on stock price volatility.
FINANCIAL TECHNOLOGY LENDING AND CREDIT RISK MANAGEMENT IN SMES: A SYSTEMATIC LITERATURE REVIEW Mia Muchia Desda; Rahmi Fahmi
Jurnal Apresiasi Ekonomi Vol 14, No 1 (2026)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v14i1.1031

Abstract

This study aims to systematically synthesize the literature on Financial Technology (FinTech) lending and credit risk management in Small and Medium Enterprises (SMEs). The method used is a Systematic Literature Review (SLR) with the PRISMA 2020 approach, using data sources from the Scopus database. The literature selection process resulted in 14 included articles published between 2021 and 2025. The results of the analysis show that FinTech lending plays an important role in increasing SME access to financing through the use of alternative data and machine learning-based analytical approaches, which can reduce information asymmetry and improve the accuracy of credit risk predictions. However, the literature also identifies significant challenges in the form of model risk, algorithmic unfairness, limited transparency of credit decisions, and governance and regulatory issues. Thematic synthesis reveals six main themes, namely SME information asymmetry, alternative data usage, machine learning application, explainability and fairness, unbalanced data challenges, and FinTech lending governance and sustainability. This study concludes that the potential of FinTech lending in supporting SME financing can only be realized sustainably if it is balanced with strengthened credit risk management, algorithm transparency, and an adaptive regulatory framework. These findings provide conceptual and practical contributions to policy development, risk models, and future research agendas in the field of SME FinTech lending.
Co-Authors Eko Putra Mahdahleni Mahdahleni Rahmi Fahmi